# code-review-mcp

> code-review-mcp — tharun-paluru-code-review-mcp. Use this tool when you need to identify and fix security vulnerabilities and bugs in your code, such as SQL injection and other flaws. It analyzes code via git and provides outputs on detected issues, utilizing AI-powered review capabilities. Ideal for developers looking to ensure code security and quality before deployment.

Canonical page: https://skillsregistry.net/skills/tharun-paluru-code-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tharun-paluru-code-review-mcp

## Description

AI-powered code review tool built on MCP — detects SQL injection, security flaws & bugs via Llama 3.3

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/THARUN-PALURU/code-review-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tharun-paluru-code-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tharun-paluru-code-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tharun-paluru-code-review-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt